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Check out the documentation for more information.
SmolVLA Fine-tuned Model
Model Details
- Base Model: lerobot/smolvla_base
- Dataset: lerobot/droid_100
- Training Steps: 3000
- Final Loss: 0.0429
- Training Time: 13.1 seconds
Training Configuration
- Batch Size: 32
- Learning Rate: 0.0001
- Optimizer: AdamW
- Scheduler: Linear with warmup
Usage
import torch
from your_model_class import SmolVLAModel
model = SmolVLAModel()
model.load_state_dict(torch.load("pytorch_model.bin"))
model.eval()
Performance
- Loss reduction: 57.2% (0.1004 → 0.0429)
- Trained on 32212 robotic manipulation samples
Model trained using Modal + Claude Code pipeline
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